filmov
tv
James Hensman: Sparse Gaussian Processes
Показать описание
James Hensman: Sparse Gaussian Processes
James Hensman, Alan Saul: Sparse Gaussian Processes and with non-Gaussian Likelihoods
James Hensman: Gaussian Processes for Big Data
David Burt: Explicit Rates of Convergence for Sparse Variational Inference in GP Regression
Florian Wenzel: Scalable Logit Gaussian Process Classification
Andreas Damianou: Variational inference in deep Gaussian processes
SOLAR-GP: Sparse Online Locally Adaptive Regression Using Gaussian Processes for Robot Learning
Sparse Orthogonally-Decoupled Gaussian Process Regression
GPSS2019 - Gaussian Processes and Non-Gaussian Likelihoods
Sparse Gaussian Process Approximations, Richard Turner
ML Tutorial: Gaussian Processes (Richard Turner)
Approximate Real-Time Optimal Control Based on Sparse Gaussian Process Models
Informative Planning and Online Learning with Sparse Gaussian Processes
Dual parameterization of sparse variational Gaussian processes
Human Action Recognition Using Improved Sparse Gaussian Process
Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time T
Neil Lawrence: New Perspectives on Variational Approximations in Gaussian Processes: Modelling Data
CogX 2018 - Deconstructing Gaussian Processes | CogX
Scalable Gaussian processes
Spatio-temporal variational Gaussian processes (NeurIPS 2021)
Marc Deisenroth: Distributed Gaussian Processes
Deep Gaussian processes
GPSS2019 - Constraining Gaussian Processes by Variational Fourier Features
Gaussian Processes I: GPRS Summer School Lecture 4
Комментарии